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As published on thoughtspot.com. Checked by usedby on Oct 9, 2026.

What happened

Navan's finance teams use ThoughtSpot and its Spotter agentic analyst to ask questions of financial data in natural language and get answers based on governed metric definitions. It sits as the analytics layer on top of a stack built with Snowflake, dbt, Atlan and Monte Carlo.

Summary written by usedby from the source page, in English. The figures are those of ThoughtSpot and Navan, not ours.

By implementing ThoughtSpot, Navan has empowered its finance teams to ask complex questions in natural language and receive instant, precise answers.

From the page. thoughtspot.com

With ThoughtSpot, teams can explore metrics themselves but on top of governed definitions. So the data team shifts from being report builders to platform builders.

Bhuvan Bhatia, Staff Data Engineer at Navan. Source

What the story claims, and what we checked

What we compared with the page.

  • The passage quoted aboveCheckedCopied word for word from the page, near the name of Navan.
  • Navan uses ThoughtSpotCheckedConfirmed line.
  • The result itselfNot checkedWe quote it; we did not measure it.

Same company, same tool or same industry.

>0.9Eval system macro F1 scoreNavan uses Braintrust. Another tool at Navan56,000“we've now scaled up to 56,000 of our end users using Thrive Analyse”Thrive Learning uses ThoughtSpot. Another customer of ThoughtSpot60%“Within just 30 days, the company experienced over 60% higher report usage”Act-On uses ThoughtSpot. Another customer of ThoughtSpot